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SpareEye: enhancing the safety of inattentionally blind smartphone users

Published: 25 November 2014 Publication History

Abstract

Using mobile phones while walking for activities that require continuous focus on the screen, such as texting, has become more and more popular in the last years. To avoid colliding with obstacles, such as lampposts and pedestrians, focus has to be taken off the screen in regular intervals. In this paper we introduce SpareEye, an Android application that warns the smartphone user from obstacles in her way. We use only the camera of the phone and no special hardware, ensuring that it requires minimal effort from the user to use the application during everyday life. Experimental results show that we can detect obstacles with high accuracy, with only some false positives and few false negatives.

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Cited By

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  • (2024)Text Entry Performance and Situation Awareness of a Joint Optical See-Through Head-Mounted Display and Smartphone SystemIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.330931630:8(5830-5846)Online publication date: Aug-2024
  • (2023)See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk UsersProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119242067:1(1894-1899)Online publication date: 21-Oct-2023
  • (2023)Safe vs Unsafe Crosswalks: Assessing the Factors Related to Pedestrian Safety2023 18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2023)10.1109/SMAP59435.2023.10255205(1-6)Online publication date: 25-Sep-2023
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      cover image ACM Other conferences
      MUM '14: Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia
      November 2014
      275 pages
      ISBN:9781450333047
      DOI:10.1145/2677972
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 25 November 2014

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      Author Tags

      1. mobile devices
      2. obstacle avoidance
      3. visual distraction

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      MUM '14
      MUM '14: International Conference on Mobile and Ubiquitous Multimedia
      November 25 - 28, 2014
      Victoria, Melbourne, Australia

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      Overall Acceptance Rate 190 of 465 submissions, 41%

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      Cited By

      View all
      • (2024)Text Entry Performance and Situation Awareness of a Joint Optical See-Through Head-Mounted Display and Smartphone SystemIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.330931630:8(5830-5846)Online publication date: Aug-2024
      • (2023)See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk UsersProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119242067:1(1894-1899)Online publication date: 21-Oct-2023
      • (2023)Safe vs Unsafe Crosswalks: Assessing the Factors Related to Pedestrian Safety2023 18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP)18th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2023)10.1109/SMAP59435.2023.10255205(1-6)Online publication date: 25-Sep-2023
      • (2023)Effectiveness of interventions for mobile phone distracted pedestrians: A systematic reviewJournal of Safety Research10.1016/j.jsr.2022.11.00884(330-346)Online publication date: Feb-2023
      • (2023)Performance Assessment of Fine-Tuned Barrier Recognition Models in Varying ConditionsComputer Analysis of Images and Patterns10.1007/978-3-031-44240-7_17(172-181)Online publication date: 20-Sep-2023
      • (2022)Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the RoadwayTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812210768482676:7(79-91)Online publication date: 12-Feb-2022
      • (2022)Pedestrian safety using the Internet of Things and sensors: Issues, challenges, and open problemsFuture Generation Computer Systems10.1016/j.future.2022.03.036134(187-203)Online publication date: Sep-2022
      • (2021)To See or Not to SeeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481235:1(1-25)Online publication date: 30-Mar-2021
      • (2020)Smombie Forecaster: Alerting Smartphone Users About Potential Hazards in Their SurroundingsIEEE Access10.1109/ACCESS.2020.30176538(153183-153191)Online publication date: 2020
      • (2020)SafeXR: alerting walking persons to obstacles in mobile XR environmentsThe Visual Computer10.1007/s00371-020-01907-4Online publication date: 10-Jul-2020
      • Show More Cited By

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